Repository Index

Make Your Company Data Driven. Connect to any data source, easily visualize, dashboard and share your data.

• redash
• python
• visualization
• analytics

Next generation of automated data exploratory analysis and visualization platform.

• datamining
• visualization
• automated-visualization
• data-exploration

Visualize and compare datasets, target values and associations, with one line of code.

• pandas-dataframe
• eda
• pandas
• data-exploration

Deepnote is a drop-in replacement for Jupyter with an AI-first design, sleek UI, new blocks, and native data integrations. Use Python, R, and SQL locally in your favorite IDE, then scale to Deepnote cloud for real-time collaboration, Deepnote agent, and deployable data apps. https://deepnote.com/

• artificial-intelligence
• data
• data-analysis
• data-science

Open-source low code data preparation library in python. Collect, clean and visualization your data in python with a few lines of code.

• dataprep
• data-science
• datapreparation
• dataconnector

An R package for the Quantitative Analysis of Textual Data

• r
• text-analytics
• natural-language-processing
• corpus

oneAPI Data Analytics Library (oneDAL)

• onedal
• data-analysis
• oneapi
• machine-learning

Self-hostable, privacy-focused website analytics.

• analytics
• cookie-free
• privacy
• self-hosted

Automate Data Exploration and Treatment

• cran
• data-analysis
• visualization
• r

skimpy is a light weight tool that provides summary statistics about variables in data frames within the console.

• eda
• pandas
• data-science
• exploratory-data-analysis

Edalitics is an open-source business intelligence platform that lets you build interactive dashboards, analyze data from multiple sources, and connect AI assistants to your business data in minutes.

• analytics
• business-intelligence
• business-analytics
• data-visualization

A lightweight Python package for teaching computational methods through art history. Extract and analyze artist-specific works from WikiArt with built-in visualizations. Designed for digital humanities and computational design courses. Features genre/style analysis, matplotlib integration, and pedagogical clarity over algorithmic complexity.

• art-history
• color-analysis
• color-extraction
• color-palette